Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Craig B. MacEachern"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract While spot spraying has gained increasing popularity in recent years, spot application of granule agrochemical has seen little development. Despite the potential for the technology, there currently exists no commercially available granular a
Externí odkaz:
https://doaj.org/article/f0acf3e823474c07bffebd1a81ac47f9
Publikováno v:
Smart Agricultural Technology, Vol 3, Iss , Pp 100099- (2023)
This study looked at the development of six deep learning artificial neural network models for detecting ripeness stage in wild blueberries, along with developing models for yield estimation. The six networks used were YOLOv3, YOLOv3-SPP, YOLOv3-Tiny
Externí odkaz:
https://doaj.org/article/34a5984a263c452783bc1abdfdcd3d56
Autor:
Mathieu F. Bilodeau, Travis J. Esau, Craig B. MacEachern, Aitazaz A. Farooque, Scott N. White, Qamar U. Zaman
Publikováno v:
Smart Agricultural Technology, Vol 3, Iss , Pp 100127- (2023)
Hair fescue is a common perennial grass weed in wild blueberry fields in Nova Scotia, Canada and reduces yield if not adequately controlled. Hair fescue is typically managed with a broadcast propyzamide application which is costly for growers. Curren
Externí odkaz:
https://doaj.org/article/715d2effdd254ab28ba77558b9d757d0
Publikováno v:
AgriEngineering, Vol 2, Iss 2, Pp 322-335 (2020)
Mechanical harvesting of wild blueberries remains the most cost-effective means for harvesting the crop. Harvesting of wild blueberries is heavily reliant on operator skill and full automation of the harvester will rely on precise and accurate determ
Externí odkaz:
https://doaj.org/article/c0c437f4c9504b02b38be8e5889351f9
Autor:
Ahmad H. Khan, Emmanuel K. Yiridoe, Travis J. Esau, Aitazaz A. Farooque, Qamar U. Zaman, Prosper J. Koto, Craig B. MacEachern
Publikováno v:
Agriculture, Vol 11, Iss 10, p 957 (2021)
Mechanical harvesters with small box and semi-automated bin handling systems are increasingly being used for harvesting wild blueberries in Eastern Canada, and Northeastern, USA. However, their field capacity and performance have not been quantified
Externí odkaz:
https://doaj.org/article/265d16f7eef6411aa903bca2ed81219d
Publikováno v:
Agronomy, Vol 11, Iss 2, p 384 (2021)
Assessment of Global Navigation Satellite Signal (GNSS) autosteering is a critical step in the progression towards full wild blueberry (vaccinium angustifolium) harvester automation. The objective of the study was to analyze John Deere’s universal
Externí odkaz:
https://doaj.org/article/ea121a2181ac466bb4e953233b4ffcbd
Publikováno v:
Progress in Canadian Mechanical Engineering. Volume 4.
Economic and Management Tool for Assessing Wild Blueberry Production Costs and Financial Feasibility
Publikováno v:
Applied Engineering in Agriculture. 35:687-696
The wild blueberry industry is facing record low berry prices that has resulted in major concerns for growers, especially in Atlantic Canada and the United States. Farm input and other costs to produce wild blueberries continue to increase, while far
Publikováno v:
Agronomy, Vol 11, Iss 384, p 384 (2021)
Agronomy
Volume 11
Issue 2
Agronomy
Volume 11
Issue 2
Assessment of Global Navigation Satellite Signal (GNSS) autosteering is a critical step in the progression towards full wild blueberry (vaccinium angustifolium) harvester automation. The objective of the study was to analyze John Deere’s universal
Publikováno v:
2021 ASABE Annual International Virtual Meeting, July 12-16, 2021.
Optimal harvest windows for wild blueberries (Vaccinium angustifolium Ait.) can be as small as a few days to ensure peak ripeness. Confirming this critical timing is one of the most important steps in harvesting wild blueberries. If the harvest windo